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Cited by 850

The DOI matches its Crossref record; 220 of the 220 references it cites were found in a registry or an index.

Targeting natural killer cells and natural killer T cells in cancer

Open access
Vivier, Eric, Ugolini, Sophie, Blaise, Didier, Chabannon, Christian, Brossay, Laurent·2012·Nature Reviews Immunology

Abstract

Natural killer (NK) cells and natural killer T (NKT) cells are subsets of lymphocytes that share some phenotypical and functional similarities. Both cell types can rapidly respond to the presence of tumour cells and participate in antitumour immune responses. This has prompted interest in the development of innovative cancer therapies that are based on the manipulation of NK and NKT cells. Recent studies have highlighted how the immune reactivity of NK and NKT cells is shaped by the environment in which they develop. The rational use of these cells in cancer immunotherapies awaits a better understanding of their effector functions, migratory patterns and survival properties in humans.

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Registry

Crossref · 10.1038/nri3174

Cites

220 of 220 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Vivier, E., Ugolini, S., Blaise, D., Chabannon, C., & Brossay, L.
Venue
Nature Reviews Immunology
Published
2012-03-22
Volume
12
Issue
4
Pages
239-252
ISSN
  • 1474-1733 (ISSN-L)
  • 1474-1741
OpenAlex
W2065202184
Cited by
850
References
220
FWCI
4.20
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Targeting natural killer cells and natural killer T cells in cancer. https://app.cochat.ai/papers/10.1038/nri3174
The paper
Vivier, E., Ugolini, S., Blaise, D., Chabannon, C., & Brossay, L. (2012). Targeting natural killer cells and natural killer T cells in cancer. Nature Reviews Immunology. https://doi.org/10.1038/nri3174

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.